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 chi-square distribution graph


How to generate the chi-square distribution graph in Python? - The Security Buddy

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The test statistic in the chi-square goodness-of-fit test or the test of independence follows the chi-square distribution. The chi-square distribution graph is asymmetrical in shape. It is skewed to the right, and its shape depends on the degrees of freedom. We can use the following Python code to generate the chi-square distribution graph for specific degrees of freedom. Here, we are using the linspace() function from the numpy Python module to generate 300 equally spaced numbers within the range 0 to 30.